Hi, my data is encoded by fixed-width (32) binary strings ('010010...10') which representusers preferences (yes/no).For each user I need to find the best k best matching users.I did some research and I found out that my problem can be modeled by the kNN problem, usingthe Hamming distance metric (lower is the hamming distance, higher is the matching value).I wrote my data to a text file and I tried to play with Orange.data.Table,Orange.classification.knn.kNNLearner and kNNClassifier, but I failed.How do I have to initialize Table, kNNLearner and kNNClassifier?